Penguins


	Senators 31-39-5, 67pts	2	FINAL	3	Penguins 55-17-4, 114pts

Team Stats
W1		W6
19-13-3		28-8-2
12-26-2		27-9-2
4-5-1		8-2-0
4.93		4.51
5.45		2.70
37.25%		25.45%
68.63%		83.61%

Penguins
55-17-4, 114pts

FINAL

Thunderbirds
25-47-5, 55pts

Team Stats
W6		L1
28-8-2		14-22-3
27-9-2		11-25-2
8-2-0		3-7-0
4.51		4.43
2.70		5.75
25.45%		32.84%
83.61%		80.00%

Penguins
55-17-4, 114pts

2025-04-05

Stars
13-60-2, 28pts


W6		SOL1
28-8-2		8-27-2
27-9-2		5-33-0
8-2-0		2-7-1
4.51		4.39
2.70		4.39
25.45%		34.29%
83.61%		69.49%

Penguins
55-17-4, 114pts

2025-04-06

IceHogs
38-32-5, 81pts


W6		L1
28-8-2		26-11-2
27-9-2		12-21-3
8-2-0		6-4-0
4.51		4.93
2.70		4.93
25.45%		30.91%
83.61%		63.79%

IceHogs
38-32-5, 81pts

2025-04-08

Penguins
55-17-4, 114pts


L1		W6
26-11-2		28-8-2
12-21-3		27-9-2
6-4-0		8-2-0
4.93		4.51
4.27		4.51
30.91%		25.45%
63.79%		83.61%


	Brandon Biro 34			Glenn Gawdin 58

	Glenn Gawdin 88			Tyler Angle 56

	Sam Montembeault 55			Sam Montembeault 0.919


343 4.51 GFG	2451 32.25 Avg	25.5% 14 GF	33.4%
205 2.70 GAA	2541 33.43 Avg	83.6%% 10 GA	36.5%



		Metropolitan Division
		Eastern Conference




		5,000
		5,000
		5,000

		23
		20
		43 / 55
		34

Priority		Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#		#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP
1	Glenn Gawdin	0	X				100.00	47	59	81	73	76	67	77	78	65	61	68	40	73	25	40	0	50	71	0	27	1	950,000$
2	Brandon Biro (R)	0	X				100.00	45	55	83	74	76	58	66	79	36	62	68	40	73	25	40	0	50	71	0	26	2	878,750$
3	Anders Bjork	0		X			100.00	45	50	84	73	76	58	54	78	36	60	67	40	72	25	40	0	50	70	0	27	1	1,520,000$
4	Matt Luff	0			X		100.00	46	43	82	73	77	58	45	78	36	59	68	40	73	25	40	0	50	70	0	27	1	750,000$
5	Tyler Angle (R)	0	X				100.00	45	63	83	71	75	78	90	76	65	57	67	40	71	25	40	0	50	70	0	23	1	925,000$
6	Cole Koepke (R)	0		X			100.00	45	57	84	73	76	62	72	78	36	59	68	40	73	25	40	0	50	70	0	26	2	750,000$
7	Mathias Laferriere (R)	0			X		100.00	45	55	83	72	76	59	68	77	36	59	67	40	72	25	40	0	50	69	0	24	3	750,000$
8	Tanner Kaspick	0	X	X	X		100.00	47	52	81	71	75	58	58	76	65	57	67	40	71	25	40	0	50	69	0	26	1	750,000$
9	Wilmer Skoog	0	X	X	X		100.00	45	55	84	73	76	58	66	78	65	57	68	40	73	25	40	0	50	69	0	24	1	750,000$
10	Grant Cruikshank	0	X				100.00	45	40	84	71	76	58	45	76	65	57	66	40	71	25	40	0	50	68	0	25	1	750,000$
11	Ilya Nikolaev	0	X				100.00	45	45	84	71	76	58	45	76	65	56	67	40	71	25	40	0	50	68	0	23	1	750,000$
12	Lucas Carlsson	0				X	100.00	46	61	81	73	76	72	83	78	36	60	67	54	73	25	40	0	50	75	0	26	2	760,000$
13	Dylan Coghlan	0				X	100.00	46	61	82	73	76	72	83	78	36	60	67	44	73	25	40	0	50	73	0	26	2	962,000$
14	Blake Hillman	0				X	100.00	45	45	84	72	76	58	45	76	36	59	66	45	71	25	40	0	50	71	0	28	1	750,000$
15	Brenden Miller	0				X	100.00	50	50	76	71	75	58	53	76	36	57	66	46	71	25	40	0	50	71	0	30	1	750,000$
16	William Riedell	0				X	100.00	46	46	82	71	76	58	45	76	36	56	66	42	71	25	40	0	50	70	0	27	1	750,000$
17	Zachary Massicotte	0				X	100.00	45	40	83	70	75	58	45	75	36	56	66	42	71	25	40	0	50	70	0	23	1	750,000$
18	Layton Ahac (R)	0				X	100.00	46	47	82	71	75	58	46	75	36	57	66	40	71	25	40	0	50	70	0	23	1	925,000$

1	Cam Morrison (R)	0		X			100.00	45	48	83	71	76	58	47	76	36	57	67	40	72	25	40	0	50	68	0	25	1	750,000$
2	Danil Zhilkin	0	X				100.00	46	52	83	71	75	58	60	76	65	56	66	40	71	25	40	0	50	68	0	20	1	750,000$
3	Ethan de Jong	0			X		100.00	44	37	85	71	76	58	45	76	36	57	66	40	71	25	40	0	50	68	0	24	1	750,000$

							100.00	46	51	83	72	76	61	59	77	46	58	67	42	72	25	40	0	50	70

Priority		Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#		#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP
1	Sam Montembeault	0	100.00	74	63	82	80	80	72	82	77	78	93	77	33	81	0	50	88	0	27	1	950,000$
2	Jacob Ingham (R)	0	100.00	61	55	53	61	56	53	60	54	56	75	57	25	55	0	50	65	0	24	1	775,000$


			100.00	68	59	68	71	68	63	71	66	67	84	67	29	68	0	50	77

	PH	DF	OF	PD	EX	LD	PO	CNT

Priority		Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#		GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PPM	PKG	PKA	GW	GT	FO%	FOT	GA	TA	EG	HT	P/20	PSG	PSS	FW	FL	FT	S1	S2	S3
1	Tyler Tucker	Penguins	D	60	46	47	93	40	10	0	158	111	226	84	98	20.35%	111	1424	23.73	5	1	6	22	37	1	38	14	2	0%	0	134	82	0	3	1.31	0	0	0	0	0	12	9	3
2	Glenn Gawdin	Penguins (PIT)	C	76	30	58	88	41	33	25	127	95	232	70	158	12.93%	36	1656	21.80	1	3	4	11	39	1	47	3	0	51.51%	893	126	22	0	1	1.06	2	2	1	2	2	4	5	7
3	Brandon Biro	Penguins (PIT)	C	76	34	48	82	34	23	15	95	86	220	71	157	15.45%	38	1641	21.60	0	6	6	5	43	1	45	3	0	35.60%	927	137	28	1	0	1.00	1	2	0	1	2	6	6	2
4	Tyler Angle	Penguins (PIT)	C	76	19	51	70	56	72	60	103	100	163	61	120	11.66%	29	1399	18.42	0	0	0	0	0	0	13	2	1	54.09%	867	92	23	1	0	1.00	0	1	6	2	4	5	3	1
5	Cole Koepke	Penguins (PIT)	LW	76	30	35	65	38	4	0	85	80	180	72	126	16.67%	29	1303	17.16	2	3	5	8	42	0	0	5	0	34.21%	38	108	15	0	1	1.00	0	0	0	0	0	4	4	2
6	Lucas Carlsson	Penguins (PIT)	D	76	28	30	58	50	194	130	74	215	148	67	70	18.92%	171	1741	22.91	0	2	2	7	41	0	47	6	0	0%	0	53	127	0	2	0.67	0	2	5	9	12	1	3	6
7	Matt Luff	Penguins (PIT)	RW	76	20	31	51	29	10	0	91	83	157	49	121	12.74%	30	1365	17.97	4	0	4	8	47	2	48	1	0	36.11%	108	96	30	0	0	0.75	0	1	0	0	0	1	2	4
8	Anders Bjork	Penguins (PIT)	LW	76	21	27	48	29	0	0	91	77	150	52	104	14.00%	31	1372	18.06	0	5	5	10	47	1	55	2	1	32.79%	61	74	30	0	0	0.70	0	1	0	0	0	3	2	3
9	Ethan de Jong	Penguins (PIT)	RW	66	19	28	47	41	6	0	92	81	152	38	92	12.50%	17	1178	17.85	0	0	0	0	0	0	0	1	0	39.02%	41	75	23	0	0	0.80	0	0	0	0	0	0	4	3
10	Mathias Laferriere	Penguins (PIT)	RW	76	10	37	47	37	4	0	82	55	164	60	111	6.10%	28	1304	17.16	1	3	4	11	42	0	0	0	1	41.18%	51	88	18	0	0	0.72	0	0	0	0	0	1	2	2
11	Dylan Coghlan	Penguins (PIT)	D	76	18	28	46	43	121	85	85	139	123	67	52	14.63%	121	1583	20.83	1	1	2	8	37	0	43	2	1	0%	0	46	95	0	0	0.58	0	1	3	3	11	0	0	6
12	Cam Morrison	Penguins (PIT)	LW	60	14	26	40	37	8	0	64	66	153	40	84	9.15%	19	1074	17.91	0	0	0	0	0	0	1	2	1	27.78%	36	77	20	0	0	0.74	0	0	0	0	0	1	1	4
13	Layton Ahac	Penguins (PIT)	D	76	8	29	37	42	2	0	80	119	81	39	42	9.88%	85	1504	19.79	0	2	2	3	44	1	51	3	0	0%	0	28	46	0	0	0.49	0	0	0	0	0	1	1	2
14	Zachary Massicotte	Penguins (PIT)	D	76	14	20	34	41	4	0	57	116	84	29	30	16.67%	87	1291	17.00	0	0	0	0	0	0	28	3	2	0%	0	32	65	0	0	0.53	0	0	0	0	0	0	1	1
15	William Riedell	Penguins (PIT)	D	76	3	26	29	40	8	0	59	95	69	31	42	4.35%	82	1333	17.55	0	0	0	2	17	0	0	0	0	0%	0	29	60	0	0	0.43	0	0	0	0	0	1	0	0
16	Ilya Nikolaev	Penguins (PIT)	C	70	5	13	18	11	4	0	25	20	40	15	18	12.50%	10	421	6.02	0	0	0	0	0	0	0	3	1	54.12%	364	17	8	0	0	0.85	0	0	0	0	0	1	0	1
17	Tanner Kaspick	Penguins (PIT)	C/LW/RW	16	6	9	15	15	0	0	22	13	21	11	20	28.57%	4	282	17.67	0	0	0	0	0	0	0	2	0	42.86%	7	18	5	0	0	1.06	0	0	0	0	0	2	1	0
18	Wilmer Skoog	Penguins (PIT)	C/LW/RW	16	9	5	14	12	0	0	15	7	41	12	26	21.95%	7	185	11.57	0	0	0	0	0	0	0	1	0	50.00%	14	20	6	0	1	1.51	1	1	0	0	0	1	1	1
19	Grant Cruikshank	Penguins (PIT)	C	70	1	9	10	14	0	0	23	15	20	3	14	5.00%	6	303	4.34	0	0	0	2	5	0	0	0	0	50.44%	113	8	2	0	0	0.66	0	0	0	0	0	0	0	0
20	Blake Hillman	Penguins (PIT)	D	16	3	6	9	7	2	0	13	24	16	6	4	18.75%	11	268	16.76	0	0	0	0	1	0	1	0	0	0%	0	8	17	0	0	0.67	0	0	0	0	0	0	0	0
21	Danil Zhilkin	Penguins (PIT)	C	66	3	0	3	2	0	0	11	6	11	6	9	27.27%	0	121	1.85	0	0	0	0	0	0	0	0	0	73.33%	30	4	1	0	0	0.49	0	0	0	0	0	0	0	1
22	Brenden Miller	Penguins (PIT)	D	16	0	1	1	1	0	0	0	0	0	0	0	0%	0	1	0.09	0	0	0	0	0	0	0	0	0	0%	0	0	0	0	0	14.46	0	0	0	0	0	0	0	0
				1368	341	564	905	660	505	315	1452	1603	2451	883	1498	13.91%	952	22760	16.64	14	26	40	97	449	7	424	53	10	46.87%	3550	1270	723	2	8	0.80	4	11	15	17	31	44	45	49

Priority		Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#		GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Sam Montembeault	Penguins (PIT)	76	55	17	4	0.919	2.69	4579	2	1	205	2541	1504	13	0	0.900	10	76	0	9	4	5
			76	55	17	4	0.919	2.69	4579	2	1	205	2541	1504	13	0		10	76	0	9	4	5

Priority		Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Anders Bjork (1 Way Contract)	Penguins (PIT)	LW	27	1996-08-05	USA	No	190 Lbs	6 ft0	No	No	Free Agent	No	Yes	1	2024-09-25	False	False	Pro & Farm	1,520,000$	108,571$	28,214$	395,000$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Blake Hillman	Penguins (PIT)	D	28	1996-01-26	USA	No	193 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Brandon Biro	Penguins (PIT)	C	26	1998-03-11	CAN	Yes	170 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	878,750$	62,768$	0$	0$	No	878,750$	Unrestricted		-	-	-	-	878,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Brenden Miller	Penguins (PIT)	D	30	1994-03-29	CAN	No	198 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cam Morrison	Penguins (PIT)	LW	25	1998-08-27	CAN	Yes	209 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cole Koepke	Penguins (PIT)	LW	26	1998-05-17	USA	Yes	196 Lbs	6 ft1	No	No	Free Agent	No	No	2	2024-09-25	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	750,000$	Restricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Danil Zhilkin	Penguins (PIT)	C	20	2003-12-19	RUS	No	196 Lbs	6 ft1	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	831,667$	831,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Dylan Coghlan	Penguins (PIT)	D	26	1998-02-19	CAN	No	208 Lbs	6 ft2	No	No	N/A	No	No	2		False	False	Pro & Farm	962,000$	68,714$	0$	0$	No	962,000$	Unrestricted		-	-	-	-	962,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Ethan de Jong	Penguins (PIT)	RW	24	1999-07-12	CAN	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Glenn Gawdin	Penguins (PIT)	C	27	1997-03-25	CAN	No	191 Lbs	6 ft1	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	67,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Grant Cruikshank	Penguins (PIT)	C	25	1998-07-19	USA	No	187 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Ilya Nikolaev	Penguins (PIT)	C	23	2001-06-26	RUS	No	190 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	836,667$	836,667$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jacob Ingham	Penguins (PIT)	G	24	2000-06-10	CAN	Yes	205 Lbs	6 ft5	No	No	Prospect	No	No	1	2024-07-02	False	False	Pro & Farm	775,000$	55,357$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Layton Ahac	Penguins (PIT)	D	23	2001-02-22	CAN	Yes	201 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	66,071$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Lucas Carlsson	Penguins (PIT)	D	26	1997-07-05	SWE	No	189 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-09-25	False	False	Pro & Farm	760,000$	54,286$	0$	0$	No	760,000$	Unrestricted		-	-	-	-	760,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Mathias Laferriere	Penguins (PIT)	RW	24	2000-06-27	CAN	Yes	185 Lbs	6 ft1	No	No	Free Agent	No	No	3	2024-09-25	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Matt Luff	Penguins (PIT)	RW	27	1997-05-05	CAN	No	196 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-09-25	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Sam Montembeault	Penguins (PIT)	G	27	1996-10-30	CAN	No	214 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	950,000$	67,857$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tanner Kaspick	Penguins (PIT)	C/LW/RW	26	1998-01-28	CAN	No	207 Lbs	6 ft1	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tyler Angle	Penguins (PIT)	C	23	2000-09-30	CAN	Yes	166 Lbs	5 ft10	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	66,071$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
William Riedell	Penguins (PIT)	D	27	1996-10-09	USA	No	198 Lbs	6 ft2	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Wilmer Skoog	Penguins (PIT)	C/LW/RW	24	1999-07-17	SWE	No	197 Lbs	6 ft2	No	No	Free Agent	No	No	1	2025-02-27	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Zachary Massicotte	Penguins (PIT)	D	23	2001-03-15	CAN	No	220 Lbs	6 ft4	No	No	Free Agent	No	No	1	2024-10-08	False	False	Pro & Farm	750,000$	53,571$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link


23	25.26	195 Lbs	6 ft1	1.26	832,424$



1	Anders Bjork	Brandon Biro	Matt Luff	30	1	2	2
2	Cole Koepke	Glenn Gawdin	Mathias Laferriere	30	1	2	2
3	Tanner Kaspick	Tyler Angle	Wilmer Skoog	20	1	2	2
4	Brandon Biro	Tyler Angle	Glenn Gawdin	20	1	2	2



1	Blake Hillman	Lucas Carlsson	30	1	2	2
2	Dylan Coghlan	Layton Ahac	30	1	2	2
3	William Riedell	Zachary Massicotte	20	1	2	2
4	Dylan Coghlan	Lucas Carlsson	20	1	2	2



1	Anders Bjork	Brandon Biro	Matt Luff	50	1	2	2
2	Cole Koepke	Glenn Gawdin	Mathias Laferriere	50	1	2	2



1	William Riedell	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	Glenn Gawdin	50	1	2	2
2	Matt Luff	Anders Bjork	50	1	2	2



1	Zachary Massicotte	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	50	1	2	2	Zachary Massicotte	Lucas Carlsson	50	1	2	2
2	Glenn Gawdin	50	1	2	2	Dylan Coghlan	Layton Ahac	50	1	2	2



1	Brandon Biro	Glenn Gawdin	50	1	2	2
2	Matt Luff	Anders Bjork	50	1	2	2



1	William Riedell	Lucas Carlsson	50	1	2	2
2	Dylan Coghlan	Layton Ahac	50	1	2	2



Anders Bjork	Brandon Biro	Matt Luff	Dylan Coghlan	Lucas Carlsson



Anders Bjork	Brandon Biro	Matt Luff	Dylan Coghlan	Lucas Carlsson



Brandon Biro, Glenn Gawdin, Tyler Angle	Brandon Biro, Matt Luff	Tyler Angle



William Riedell, Zachary Massicotte, Dylan Coghlan	William Riedell	Zachary Massicotte, Dylan Coghlan


Brandon Biro, Glenn Gawdin, Matt Luff, Anders Bjork, Tyler Angle


#1 : Sam Montembeault, #2 : Jacob Ingham


Brandon Biro, Glenn Gawdin, Matt Luff, Anders Bjork, Tyler Angle, Cole Koepke, Cole Koepke, Mathias Laferriere, Wilmer Skoog, Tanner Kaspick, Ilya Nikolaev


Blake Hillman, Lucas Carlsson, Dylan Coghlan, Layton Ahac, William Riedell

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	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Admirals	2	2	0	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	4	2	2	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	14	23	0	0	144	93	100	8	59	901	700	831	29	66	28	25	39	1	0	0.00%	5	2	60.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
2	Americans	3	1	1	0	1	0	0	0	12	11	1	1	1	0	0	0	0	0	0	5	2	3	2	0	1	0	1	0	0	0	7	9	-2	4	0.667	12	19	31	0	0	144	93	100	8	91	901	700	831	29	108	40	8	52	3	0	0.00%	4	1	75.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
3	Barracuda	2	2	0	0	0	0	0	0	11	4	7	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	7	3	4	4	1.000	11	18	29	0	0	144	93	100	8	61	901	700	831	29	49	22	24	36	0	0	0%	2	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
4	Bears	3	2	1	0	0	0	0	0	9	5	4	1	1	0	0	0	0	0	0	3	1	2	2	1	1	0	0	0	0	0	6	4	2	4	0.667	9	15	24	0	0	144	93	100	8	91	901	700	831	29	106	45	29	60	1	0	0.00%	2	1	50.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
5	Bruins	2	2	0	0	0	0	0	0	12	3	9	1	1	0	0	0	0	0	0	6	1	5	1	1	0	0	0	0	0	0	6	2	4	4	1.000	12	21	33	0	0	144	93	100	8	64	901	700	831	29	79	25	2	33	3	1	33.33%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
6	Canucks	2	1	1	0	0	0	0	0	7	6	1	1	1	0	0	0	0	0	0	5	2	3	1	0	1	0	0	0	0	0	2	4	-2	2	0.500	7	12	19	0	0	144	93	100	8	64	901	700	831	29	63	25	2	33	0	0	0%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
7	Checkers	3	1	1	0	1	0	0	0	11	4	7	1	0	1	0	0	0	0	0	1	2	-1	2	1	0	0	1	0	0	0	10	2	8	4	0.667	11	19	30	0	0	144	93	100	8	115	901	700	831	29	92	29	33	63	3	0	0.00%	4	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
8	Comets	3	0	3	0	0	0	0	0	8	13	-5	2	0	2	0	0	0	0	0	7	9	-2	1	0	1	0	0	0	0	0	1	4	-3	0	0.000	8	14	22	0	0	144	93	100	8	83	901	700	831	29	124	46	9	61	3	1	33.33%	2	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
9	Condors	2	1	1	0	0	0	0	0	11	9	2	1	0	1	0	0	0	0	0	4	7	-3	1	1	0	0	0	0	0	0	7	2	5	2	0.500	11	17	28	0	0	144	93	100	8	63	901	700	831	29	91	30	20	25	1	0	0.00%	0	0	0%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
10	Crunch	3	3	0	0	0	0	0	0	22	6	16	2	2	0	0	0	0	0	0	16	3	13	1	1	0	0	0	0	0	0	6	3	3	6	1.000	22	36	58	0	0	144	93	100	8	107	901	700	831	29	89	36	17	67	1	0	0.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
11	Eagles	2	2	0	0	0	0	0	0	9	4	5	1	1	0	0	0	0	0	0	4	1	3	1	1	0	0	0	0	0	0	5	3	2	4	1.000	9	15	24	0	0	144	93	100	8	68	901	700	831	29	48	21	7	44	2	0	0.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
12	Firebirds	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	5	3	2	1	0	1	0	0	0	0	0	3	6	-3	2	0.500	8	14	22	0	0	144	93	100	8	56	901	700	831	29	68	23	5	33	0	0	0%	0	0	0%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
13	Griffins	3	2	0	0	0	1	0	0	16	12	4	1	1	0	0	0	0	0	0	6	4	2	2	1	0	0	0	1	0	0	10	8	2	5	0.833	16	26	42	0	0	144	93	100	8	94	901	700	831	29	94	38	9	60	1	0	0.00%	2	1	50.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
14	Gulls	2	1	1	0	0	0	0	0	9	7	2	1	0	1	0	0	0	0	0	1	3	-2	1	1	0	0	0	0	0	0	8	4	4	2	0.500	9	15	24	0	0	144	93	100	8	63	901	700	831	29	67	32	5	45	2	1	50.00%	0	0	0%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
15	Islanders	4	2	2	0	0	0	0	0	10	10	0	2	1	1	0	0	0	0	0	5	5	0	2	1	1	0	0	0	0	0	5	5	0	4	0.500	10	16	26	0	0	144	93	100	8	102	901	700	831	29	129	52	18	73	2	0	0.00%	4	1	75.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
16	Marlies	3	0	1	0	0	1	1	0	9	11	-2	2	0	0	0	0	1	1	0	7	7	0	1	0	1	0	0	0	0	0	2	4	-2	3	0.500	9	13	22	0	0	144	93	100	8	93	901	700	831	29	82	43	6	65	5	2	40.00%	3	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
17	Monsters	3	3	0	0	0	0	0	0	16	6	10	2	2	0	0	0	0	0	0	14	5	9	1	1	0	0	0	0	0	0	2	1	1	6	1.000	16	28	44	0	0	144	93	100	8	110	901	700	831	29	113	36	49	57	5	0	0.00%	2	1	50.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
18	Moose	2	1	0	0	0	1	0	0	6	6	0	1	0	0	0	0	1	0	0	4	5	-1	1	1	0	0	0	0	0	0	2	1	1	3	0.750	6	10	16	0	0	144	93	100	8	70	901	700	831	29	71	29	15	33	2	0	0.00%	5	1	80.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
19	Phantoms	4	2	1	0	0	0	1	0	21	12	9	2	1	1	0	0	0	0	0	6	5	1	2	1	0	0	0	0	1	0	15	7	8	6	0.750	21	34	55	0	0	144	93	100	8	142	901	700	831	29	113	49	52	95	3	0	0.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
20	Reign	2	2	0	0	0	0	0	0	7	2	5	1	1	0	0	0	0	0	0	3	1	2	1	1	0	0	0	0	0	0	4	1	3	4	1.000	7	14	21	0	0	144	93	100	8	57	901	700	831	29	69	22	9	40	0	0	0%	2	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
21	Roadrunners	2	2	0	0	0	0	0	0	16	7	9	1	1	0	0	0	0	0	0	8	2	6	1	1	0	0	0	0	0	0	8	5	3	4	1.000	16	25	41	0	0	144	93	100	8	81	901	700	831	29	83	22	28	28	2	0	0.00%	3	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
22	Rocket	3	1	0	0	1	1	0	0	15	11	4	1	0	0	0	1	0	0	0	5	4	1	2	1	0	0	0	1	0	0	10	7	3	5	0.833	15	25	40	0	0	144	93	100	8	114	901	700	831	29	111	38	32	59	2	0	0.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
23	Senators	3	2	1	0	0	0	0	0	12	10	2	2	1	1	0	0	0	0	0	8	9	-1	1	1	0	0	0	0	0	0	4	1	3	4	0.667	12	21	33	0	0	144	93	100	8	85	901	700	831	29	109	35	7	72	3	2	66.67%	1	1	0.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
24	Silver Knights	2	2	0	0	0	0	0	0	9	2	7	1	1	0	0	0	0	0	0	4	0	4	1	1	0	0	0	0	0	0	5	2	3	4	1.000	9	13	22	0	1	144	93	100	8	55	901	700	831	29	70	29	18	26	1	0	0.00%	4	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
25	Stars	1	1	0	0	0	0	0	0	8	1	7	1	1	0	0	0	0	0	0	8	1	7	0	0	0	0	0	0	0	0	0	0	0	2	1.000	8	12	20	0	0	144	93	100	8	36	901	700	831	29	33	17	5	15	1	1	100.00%	0	0	0%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
26	Thunderbirds	2	2	0	0	0	0	0	0	14	3	11	1	1	0	0	0	0	0	0	7	1	6	1	1	0	0	0	0	0	0	7	2	5	4	1.000	14	25	39	0	0	144	93	100	8	72	901	700	831	29	70	20	22	33	1	1	100.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
27	Wild	2	1	1	0	0	0	0	0	5	4	1	1	1	0	0	0	0	0	0	4	2	2	1	0	1	0	0	0	0	0	1	2	-1	2	0.500	5	7	12	0	0	144	93	100	8	59	901	700	831	29	67	21	2	31	2	1	50.00%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
28	Wolf Pack	4	2	1	0	1	0	0	0	10	10	0	2	2	0	0	0	0	0	0	6	4	2	2	0	1	0	1	0	0	0	4	6	-2	6	0.750	10	15	25	0	0	144	93	100	8	128	901	700	831	29	124	38	45	78	1	0	0.00%	5	1	80.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
29	Wolves	3	3	0	0	0	0	0	0	16	10	6	1	1	0	0	0	0	0	0	5	3	2	2	2	0	0	0	0	0	0	11	7	4	6	1.000	16	27	43	0	0	144	93	100	8	94	901	700	831	29	93	35	2	52	3	2	66.67%	1	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
30	Wranglers	2	2	0	0	0	0	0	0	15	2	13	1	1	0	0	0	0	0	0	9	1	8	1	1	0	0	0	0	0	0	6	1	5	4	1.000	15	24	39	0	0	144	93	100	8	74	901	700	831	29	60	26	2	44	1	2	200.00%	2	0	100.00%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
	Total	76	49	17	0	4	4	2	0	343	205	138	38	26	8	0	1	2	1	0	174	96	78	38	23	9	0	3	2	1	0	169	109	60	114	0.750	343	564	907	0	1	144	93	100	8	2451	901	700	831	29	2541	952	507	1452	55	14	25.45%	61	10	83.61%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
	_Since Last GM Reset	76	49	17	0	4	4	2	0	343	205	138	38	26	8	0	1	2	1	0	174	96	78	38	23	9	0	3	2	1	0	169	109	60	114	0.750	343	564	907	0	1	144	93	100	8	2451	901	700	831	29	2541	952	507	1452	55	14	25.45%	61	10	83.61%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
	_Vs Conference	47	26	12	0	4	3	2	0	199	134	65	23	14	6	0	1	1	1	0	100	64	36	24	12	6	0	3	2	1	0	99	70	29	67	0.713	199	329	528	0	0	144	93	100	8	1513	901	700	831	29	1566	585	318	947	39	8	20.51%	34	7	79.41%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627
	_Vs Division	24	14	7	0	1	0	0	0	90	66	24	12	8	3	0	0	0	0	0	46	32	14	12	6	4	0	1	0	0	0	44	34	10	30	0.625	90	149	239	0	0	144	93	100	8	750	901	700	831	29	802	301	204	476	18	3	16.67%	17	4	76.47%	0	548	1176	46.60%	611	1286	47.51%	505	1059	47.69%	1545	955	1772	614	1264	627

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
76	114	W6	343	564	907	2451	2541	952	507	1452	0	1

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
76	49	17	4	4	2	0	343	205

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	26	8	1	2	1	0	174	96

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
38	23	9	3	2	1	0	169	109

Last 10 Games
W	L	OTW	OTL	SOW	SOL
8	2	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
55	14	25.45%	61	10	83.61%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
901	700	831	29	144	93	100	8

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
548	1176	46.60%	611	1286	47.51%	505	1059	47.69%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
1545	955	1772	614	1264	627

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Day	Game	Visitor	Score	Home	Score	ST	OT	SO	Link
6 - 2024-10-09	7	Wolf Pack	2	Penguins	3	W			BoxScore
7 - 2024-10-10	14	Penguins	5	Griffins	2	W			BoxScore
9 - 2024-10-12	26	Penguins	2	Marlies	4	L			BoxScore
11 - 2024-10-14	46	Penguins	5	Rocket	6	L	X		BoxScore
13 - 2024-10-16	57	Americans	2	Penguins	5	W			BoxScore
15 - 2024-10-18	72	Wolves	3	Penguins	5	W			BoxScore
17 - 2024-10-20	88	Penguins	2	Moose	1	W			BoxScore
19 - 2024-10-22	102	Penguins	6	Wranglers	1	W			BoxScore
22 - 2024-10-25	121	Penguins	7	Condors	2	W			BoxScore
23 - 2024-10-26	133	Penguins	2	Canucks	4	L			BoxScore
26 - 2024-10-29	153	Wild	2	Penguins	4	W			BoxScore
28 - 2024-10-31	163	Gulls	3	Penguins	1	L			BoxScore
30 - 2024-11-02	180	Rocket	4	Penguins	5	W	X		BoxScore
33 - 2024-11-05	198	Penguins	4	Islanders	2	W			BoxScore
35 - 2024-11-07	214	Penguins	5	Wolves	4	W			BoxScore
36 - 2024-11-08	221	Penguins	1	Bears	2	L			BoxScore
39 - 2024-11-11	241	Stars	1	Penguins	8	W			BoxScore
41 - 2024-11-13	252	Griffins	4	Penguins	6	W			BoxScore
43 - 2024-11-15	267	Penguins	2	Monsters	1	W			BoxScore
44 - 2024-11-16	279	Barracuda	1	Penguins	4	W			BoxScore
47 - 2024-11-19	295	Crunch	2	Penguins	8	W			BoxScore
50 - 2024-11-22	316	Moose	5	Penguins	4	L	X		BoxScore
51 - 2024-11-23	326	Roadrunners	2	Penguins	8	W			BoxScore
55 - 2024-11-27	354	Canucks	2	Penguins	5	W			BoxScore
57 - 2024-11-29	372	Penguins	6	Bruins	2	W			BoxScore
58 - 2024-11-30	380	Wranglers	1	Penguins	9	W			BoxScore
61 - 2024-12-03	399	Checkers	2	Penguins	1	L			BoxScore
64 - 2024-12-06	421	Penguins	1	Wolf Pack	4	L			BoxScore
65 - 2024-12-07	433	Marlies	5	Penguins	4	L	X		BoxScore
68 - 2024-12-10	447	Eagles	1	Penguins	4	W			BoxScore
70 - 2024-12-12	460	Penguins	5	Rocket	1	W			BoxScore
72 - 2024-12-14	478	Penguins	4	Senators	1	W			BoxScore
75 - 2024-12-17	499	Reign	1	Penguins	3	W			BoxScore
77 - 2024-12-19	515	Penguins	5	Admirals	3	W			BoxScore
79 - 2024-12-21	534	Penguins	1	Comets	4	L			BoxScore
81 - 2024-12-23	550	Phantoms	1	Penguins	5	W			BoxScore
86 - 2024-12-28	575	Penguins	1	Islanders	3	L			BoxScore
87 - 2024-12-29	581	Islanders	3	Penguins	4	W			BoxScore
89 - 2024-12-31	593	Penguins	5	Griffins	6	L	X		BoxScore
92 - 2025-01-03	615	Penguins	2	Checkers	1	W	X		BoxScore
94 - 2025-01-05	634	Penguins	6	Wolves	3	W			BoxScore
96 - 2025-01-07	645	Monsters	4	Penguins	7	W			BoxScore
98 - 2025-01-09	658	Condors	7	Penguins	4	L			BoxScore
100 - 2025-01-11	671	Senators	7	Penguins	5	L			BoxScore
101 - 2025-01-12	686	Crunch	1	Penguins	8	W			BoxScore
103 - 2025-01-14	696	Firebirds	3	Penguins	5	W			BoxScore
106 - 2025-01-17	720	Penguins	1	Americans	4	L			BoxScore
107 - 2025-01-18	729	Penguins	5	Bears	2	W			BoxScore
109 - 2025-01-20	748	Penguins	4	Reign	1	W			BoxScore
112 - 2025-01-23	769	Penguins	8	Gulls	4	W			BoxScore
114 - 2025-01-25	778	Penguins	3	Firebirds	6	L			BoxScore
116 - 2025-01-27	798	Penguins	7	Barracuda	3	W			BoxScore
118 - 2025-01-29	811	Penguins	8	Roadrunners	5	W			BoxScore
121 - 2025-02-01	830	Admirals	2	Penguins	4	W			BoxScore
124 - 2025-02-04	848	Comets	4	Penguins	3	L			BoxScore
127 - 2025-02-07	871	Penguins	3	Wolf Pack	2	W	X		BoxScore
128 - 2025-02-08	881	Penguins	9	Phantoms	2	W			BoxScore
142 - 2025-02-22	893	Bears	1	Penguins	3	W			BoxScore
143 - 2025-02-23	907	Wolf Pack	2	Penguins	3	W			BoxScore
145 - 2025-02-25	922	Penguins	6	Phantoms	5	W	X	X	BoxScore
147 - 2025-02-27	938	Phantoms	4	Penguins	1	L			BoxScore
149 - 2025-03-01	952	Bruins	1	Penguins	6	W			BoxScore
150 - 2025-03-02	961	Marlies	2	Penguins	3	W	X	X	BoxScore
152 - 2025-03-04	980	Penguins	5	Eagles	3	W			BoxScore
155 - 2025-03-07	1001	Penguins	5	Silver Knights	2	W			BoxScore
Trade Deadline
157 - 2025-03-09	1015	Penguins	1	Wild	2	L			BoxScore
159 - 2025-03-11	1028	Silver Knights	0	Penguins	4	W			BoxScore
161 - 2025-03-13	1044	Thunderbirds	1	Penguins	7	W			BoxScore
163 - 2025-03-15	1056	Comets	5	Penguins	4	L			BoxScore
166 - 2025-03-18	1080	Islanders	2	Penguins	1	L			BoxScore
169 - 2025-03-21	1103	Monsters	1	Penguins	7	W			BoxScore
171 - 2025-03-23	1120	Penguins	8	Checkers	1	W			BoxScore
173 - 2025-03-25	1131	Penguins	6	Crunch	3	W			BoxScore
175 - 2025-03-27	1143	Penguins	6	Americans	5	W	X		BoxScore
178 - 2025-03-30	1174	Senators	2	Penguins	3	W			BoxScore
182 - 2025-04-03	1200	Penguins	7	Thunderbirds	2	W			BoxScore
184 - 2025-04-05	1211	Penguins	-	Stars	-
185 - 2025-04-06	1227	Penguins	-	IceHogs	-
187 - 2025-04-08	1240	IceHogs	-	Penguins	-
190 - 2025-04-11	1262	Penguins	-	Comets	-
192 - 2025-04-13	1278	Bruins	-	Penguins	-
196 - 2025-04-17	1311	Bears	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	133,000	57,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
3	5000 - 100.00%	108,375$	4,118,250$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
14,566,059$	17,625,750$	17,625,750$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
89,927$	14,566,059$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
325,125$	14	89,927$	1,258,978$

Penguins Players Stat Leaders (Regular Season)

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#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Penguins Goalies Stat Leaders (Regular Season)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Penguins Career Team Stats

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	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Penguins Players Stat Leaders (Play-Off)

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#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Penguins Goalies Stat Leaders (Play-Off)

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#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Penguins
	GP: 76 \| W: 55 \| L: 17 \| OTL: 4 \| P: 114 GF: 343 \| GA: 205 \| PP%: 25.45% \| PK%: 83.61% \| 50 \| 71 #1211 vs Stars